US 8,265,204 B2Granted

Decoding device and method for MIMO system

AssigneeElectronics and Telecommunications Research Institute

InventorsEun-Young Choi, Chan Ho Yoon, Jung Bo Son, Hun Sik Kang, Sok-Kyu Lee, Seok Hyun Yoon

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Abstract

The present invention relates to a decoding device and method for a MIMO system. A linear process is applied to a received signal vector by using a channel matrix estimated from the received signal vector and a poly-diagonalized matrix, and a soft decision value is acquired through a trellis decode by using the linear process result. Since the linear preprocess is performed by using the poly-diagonalized matrix, it is possible to receive a MIMO signal having good packet error rate performance and less complexity. Also, since the tail-biting trellis decoding method is used based on the poly-diagonalized matrix that is generated by poly-diagonalizing the effective channel matrix during the process for eliminating the signal interference, the soft decision value for the symbol can be generated with a simple hardwired device and less operation complexity.

Claims15

Dependent claims

A decoding device comprising:

a demultiplexer for demultiplexing a received signal including a pilot and a data symbol, and outputting the pilot and the data symbol;
a channel estimator for receiving the pilot from the demultiplexer, estimating a channel of the received signal, and outputting a channel matrix;
and
a multi-input multi-output (MIMO) decoder for outputting a received signal vector from the data symbol provided by the demultiplexer, and generating a soft decision value based on the received signal vector, and
wherein the MIMO decoder includes a linear process module for outputting the received signal vector from the data symbol that is output by the demultiplexer by using a poly-diagonalized matrix corresponding to the channel matrix estimated by the channel estimator, and a decoding module for generating the soft decision value for the data symbol by using the received signal vector,
wherein the generating of the soft decision value is by using a first received signal vector, a coefficient value, and a variance value of effective noise calculated based on the poly-diagonalized matrix and the received signal vector.

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